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The news BNs are revised based on parameter learning [49] in super peers.
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Optimal-transport algorithms ferret out the best solutions, based on parameters such as distance, road congestion, and conflagration size.
In computer-speak, they're based on mathematical models that accumulate data, or "knowledge," based on parameters set by administrators.
The first one is based on learning the model parameters that maximizes the likelihood of the training data.
This system is based on reinforcement learning.
Next, we give the classification method based on dictionary learning.
A unified phenomenological description of work hardening and creep based on one-parameter models.
In order to obtain the minimum error, the deep network parameters will be updated based on learning rules.
This method is based on learning automata that selects the route as regards energy and distance to sink parameters.
Our approach is based on learning by demonstration.
A parameter learning algorithm based on least squares estimation is used to derive the weights of the underlying network.
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